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BNY Mellon Recruitment Drive; Hiring Associate – Apply Now


At BNY, their culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system they touch nearly 20% of the world’s investible assets. Every day around the globe, their 50,000+ employees bring the power of their perspective to the table to create solutions with their clients that benefit businesses, communities and people everywhere. BNY continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through their unique ideas and talents, together they help make money work for the world. This is what #LifeAtBNY is all about.

Name of the Organization: BNY Mellon

Requisition ID: 59060

Positions: Associate - Data Management & Quantitative Analysis I

Location: Chennai & Pune

Salary: As per company Norms

Educational Qualifications:

  • Qualification- Graduation in any stream (B.E / B.Tech / B.Com preferred) + MBA (Finance) / CFA
  • 1+ years of relevant experience in Structured Finance domain in an Analytical role
  • Good understanding of excel formulas and programming language (SQL/MS-Access) is required to perform the task efficiently

Job Description:

They’re seeking a future team member for the role of Associate, Data Management & Quantitative Analysis I to join our CT - Analytics team. This role is located in Pune- HYBRID.

In this role, you’ll make an impact in the following ways:

  • This position is responsible for building and maintaining highly critical structured finance waterfall models, Model Maintenance, carrying out distribution payment run and reporting.
  • This requires analyzing and understanding the legal documents thoroughly and to identify the relevant details required to build the model.
  • Coordinate with CSM and Servicers.
  • Providing trainings to Junior team members & supporting Lead analyst to achieve team goals.
  • BNY Mellon in its role as a Trustee to ensure accuracy of payments to the investor, as any error has a financial and reputational impact.

 

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